refactor: simplify module metadata schema for AI discoverability

fuzzforge-modules/fuzzforge-module-template/pyproject.toml

@@ -31,40 +31,25 @@ fuzzforge-modules-sdk = { workspace = true }
 package = true
 
 # FuzzForge module metadata for AI agent discovery
-# See MODULE_METADATA.md for full documentation
 [tool.fuzzforge.module]
 # REQUIRED: Unique module identifier (should match Docker image name)
 identifier = "fuzzforge-module-template"
 
-# REQUIRED: Module category - one of: analyzer, validator, fuzzer, reporter
-category = "analyzer"
-
-# Optional: Target programming language
-language = "rust"
-
-# Optional: Pipeline stage name
-pipeline_stage = "analysis"
-
-# Optional: Numeric order in pipeline (for sorting)
-pipeline_order = 1
-
-# Optional: List of module identifiers that must run before this one
-dependencies = []
+# Optional: List of module identifiers that should run before this one
+suggested_predecessors = []
 
 # Optional: Whether this module supports continuous/background execution
 continuous_mode = false
 
-# Optional: Expected runtime (e.g., "30s", "5m", "continuous")
-typical_duration = "30s"
-
 # REQUIRED: Use cases help AI agents understand when to use this module
+# Include language/target info here (e.g., "Analyze Rust crate...")
 use_cases = [
     "FIXME: Describe what this module does",
     "FIXME: Describe typical usage scenario"
 ]
 
 # REQUIRED: What inputs the module expects
-input_requirements = [
+common_inputs = [
     "FIXME: List required input files or artifacts"
 ]